# plot-methods

##### Methods for Function plot in Package `distr'

plot-methods

- Keywords
- methods, hplot, distribution

##### Usage

```
plot(x, y, ...)
# S4 method for AbscontDistribution,missing
plot(x, width = 10, height = 5.5,
withSweave = getdistrOption("withSweave"), xlim = NULL, ylim = NULL,
ngrid = 1000, verticals = TRUE, do.points = TRUE, main = FALSE,
inner = TRUE, sub = FALSE, bmar = par("mar")[1], tmar = par("mar")[3], ...,
cex.main = par("cex.main"), cex.inner = 1.2, cex.sub = par("cex.sub"),
col.points = par("col"), col.vert = par("col"), col.main = par("col.main"),
col.inner = par("col.main"), col.sub = par("col.sub"), cex.points = 2.0,
pch.u = 21, pch.a = 16, mfColRow = TRUE,
to.draw.arg = NULL, withSubst = TRUE)
# S4 method for DiscreteDistribution,missing
plot(x, width = 10, height = 5.5,
withSweave = getdistrOption("withSweave"), xlim = NULL, ylim = NULL,
verticals = TRUE, do.points = TRUE, main = FALSE, inner = TRUE, sub = FALSE,
bmar = par("mar")[1], tmar = par("mar")[3], ...,
cex.main = par("cex.main"), cex.inner = 1.2, cex.sub = par("cex.sub"),
col.points = par("col"), col.hor = par("col"), col.vert = par("col"),
col.main = par("col.main"), col.inner = par("col.main"),
col.sub = par("col.sub"), cex.points = 2.0, pch.u = 21, pch.a = 16,
mfColRow = TRUE, to.draw.arg = NULL, withSubst = TRUE)
# S4 method for AffLinUnivarLebDecDistribution,missing
plot(x, width = 10,
height = 5.5, withSweave = getdistrOption("withSweave"), xlim = NULL,
ylim = NULL, ngrid = 1000, verticals = TRUE, do.points = TRUE, main = FALSE,
inner = TRUE, sub = FALSE, bmar = par("mar")[1], tmar = par("mar")[3], ...,
cex.main = par("cex.main"), cex.inner = 1.2, cex.sub = par("cex.sub"),
col.points = par("col"), col.hor = par("col"), col.vert = par("col"),
col.main = par("col.main"), col.inner = par("col.main"),
col.sub = par("col.sub"), cex.points = 2.0, pch.u = 21, pch.a = 16,
mfColRow = TRUE, to.draw.arg = NULL, withSubst = TRUE)
# S4 method for UnivarLebDecDistribution,missing
plot(x, width = 10,
height = 14.5, withSweave = getdistrOption("withSweave"), xlim = NULL,
ylim = NULL, ngrid = 1000, verticals = TRUE, do.points = TRUE, main = FALSE,
inner = TRUE, sub = FALSE, bmar = par("mar")[1], tmar = par("mar")[3], ...,
cex.main = par("cex.main"), cex.inner = 0.9, cex.sub = par("cex.sub"),
col.points = par("col"), col.hor = par("col"), col.vert = par("col"),
col.main = par("col.main"), col.inner = par("col.main"),
col.sub = par("col.sub"), cex.points = 2.0, pch.u = 21, pch.a = 16,
mfColRow = TRUE, to.draw.arg = NULL, withSubst = TRUE)
# S4 method for DistrList,missing
plot(x, y, ...)
# S4 method for CompoundDistribution,missing
plot(x, y, ...)
```

##### Arguments

- x
object of class

`"AffLinUnivarLebDecDistribution"`

or class`"UnivarLebDecDistribution"`

or class`"AbscontDistribution"`

or class`"DiscreteDistribution"`

or class`"DistrList"`

: (list of) distribution(s) to be plotted- y
missing

- xlim
the x limits (x1, x2) of the plot. Note that

`x1 > x2`

is allowed and leads to a "reversed axis". As in`plot.default`

.- ylim
the y limits of the plot. Either as in

`plot.default`

(i.e. a vector of length 2) or a vector of length 4, where the first two elements are the values for`ylim`

in panel "d", and the last two elements are the values for`ylim`

resp.`xlim`

in panels "p", and "q".- width
width (in inches) of the graphics device opened

- height
height (in inches) of the graphics device opened

- withSweave
logical: if

`TRUE`

(for working with`Sweave`

) no extra device is opened and height/width are not set- ngrid
integer: number of grid points used for plots of absolutely continuous distributions

- main
logical: is a main title to be used? or just as argument

`main`

in`plot.default`

.- inner
logical: do panels for density/probability function - cdf - quantile function have their own titles? or list which is filled to length 3 (resp. 8 for class

`UnivarLebDecDistribution`

) if necessary (possibly using recycling rules): titles for density/probability function - cdf - quantile function (each of the same form as argument`main`

in`plot.default`

)- sub
logical: is a sub-title to be used? or just as argument

`sub`

in`plot.default`

.- tmar
top margin -- useful for non-standard main title sizes

- bmar
bottom margin -- useful for non-standard sub title sizes

- verticals
logical: if

`TRUE`

, draw vertical lines at steps; as in`plot.stepfun`

- do.points
logical: if

`TRUE`

, draw also draw points at the (`xlim`

restricted) knot locations; as in`plot.stepfun`

- cex.points
numeric; character expansion factor; as in

`plot.stepfun`

- col.points
character or integer code; color of points; as in

`plot.stepfun`

- col.hor
character or integer code; color of horizontal lines; as in

`plot.stepfun`

- col.vert
character or integer code; color of vertical lines; as in

`plot.stepfun`

- cex.main
magnification to be used for main titles relative to the current setting of

`cex`

; as in`par`

- cex.inner
magnification to be used for inner titles relative to the current setting of

`cex`

; as in`par`

- cex.sub
magnification to be used for sub titles relative to the current setting of

`cex`

; as in`par`

- col.main
character or integer code; color for the main title

- col.inner
character or integer code; color for the inner title

- col.sub
character or integer code; color for the sub title

- pch.u
character or integer code; plotting characters or symbols for unattained value; see

`points`

- pch.a
character or integer code; plotting characters or symbols for attained value; see

`points`

- mfColRow
shall default partition in panels be used --- defaults to

`TRUE`

- to.draw.arg
Either

`NULL`

(default; everything is plotted) or a vector of either integers (the indices of the subplots to be drawn) or characters --- the names of the subplots to be drawn: in case of an object`x`

of class`"DiscreteDistribution"`

or`"AbscontDistribution"`

`c("d","p","q")`

for density, c.d.f. and quantile function; in case of`x`

a proper`"UnivarLebDecDistribution"`

(with pos. weights for both discrete and abs. continuous part) names are`c("p","q","d.c","p.c","q.c","d.d","p.d","q.d")`

) for c.d.f. and quantile function of the composed distribution and the respective three panels for the absolutely continuous and the discrete part, respectively;- withSubst
logical; if

`TRUE`

(default) pattern substitution for titles and lables is used; otherwise no substitution is used.- …
addtional arguments for

`plot`

--- see`plot`

,`plot.default`

,`plot.stepfun`

##### Details

- plot
`signature(x = "AffLinUnivarLebDecDistribution", y = "missing")`

: plots cumulative distribution function and the quantile function- plot
`signature(x = "UnivarLebDecDistribution", y = "missing")`

: plots a set of eight plots: in the first row, it plots the cumulative distribution function and the quantile function; in the second row the absolutely continuous part (with density, cdf and quantile fct.), and in the last row the discrete part (with prob.fct., cdf and quantile fct.).- plot
`signature(x = "CompoundDistribution", y = "missing")`

: coerces`x`

to`"UnivarLebDecDistribution"`

and uses the corresponding method.- plot
`signature(x = "AbscontDistribution", y = "missing")`

: plots density, cumulative distribution function and the quantile function- plot
`signature(x = "DiscreteDistribution", y = "missing")`

: plots probability function, cumulative distribution function and the quantile function- plot
`signature(x = "DistrList", y = "missing")`

: plots a list of distributions

Any parameters of `plot.default`

may be passed on to this particular
`plot`

method.

For main-, inner, and subtitles given as arguments `main`

,
`inner`

, and `sub`

, top and bottom margins are enlarged to 5 resp.
6 by default but may also be specified by `tmar`

/ `bmar`

arguments.
If `main`

/ `inner`

/ `sub`

are
logical then if the respective argument is `FALSE`

nothing is done/plotted,
but if it is `TRUE`

, we use a default main title taking up the calling
argument `x`

in case of `main`

, default inner titles taking up the
class and (named) parameter slots of argument `x`

in case of `inner`

,
and a "generated on <data>"-tag in case of `sub`

.
Of course, if `main`

/ `inner`

/ `sub`

are `character`

, this
is used for the title; in case of `inner`

it is then checked whether it
has length 3. In all title and axis label arguments, if `withSubst`

is `TRUE`

,
the following patterns are substituted:

`"%C"`

class of argument

`x`

`"%P"`

parameters of

`x`

in form of a comma-separated list of <value>'s coerced to character`"%Q"`

parameters of

`x`

in form of a comma-separated list of <value>'s coerced to character and in parenthesis --- unless empty; then ""`"%N"`

parameters of

`x`

in form of a comma-separated list <name> = <value> coerced to character`"%A"`

deparsed argument

`x`

`"%D"`

time/date-string when the plot was generated

If not explicitly set, `col.points`

, `col.vert`

,
`col.hor`

, `col.main`

, `col.inner`

, `col.sub`

are set
to `col`

if this arg is given and else to
`par("col")`

resp. for the titles `par("col.main")`

,
`par("col.main")`

, `par("col.sub")`

.

If not explicitly set, `pch.a`

, `pch.u`

are set
to `pch`

if this arg is given and else to 16, 21, respectively.

If not explicitly set, `cex`

is set to 1. If not explicitly set,
`cex.points`

is set to $2.0 `cex`

$ (if `cex`

is given)
and to 2.0 else.

If general `plot`

arguments `xlab`

, `ylab`

are not specified,
they are set to `"x"`

, `"q"`

, `"p"`

for `xlab`

and
to `"d(x)"`

, `"p(q)"`

, `"q(p)"`

for `ylab`

for
density, cdf and quantile function respectively.
Otherwise, according to the respective content of `to.draw.arg`

,
it is supposed to be a list with one entry for each selected panel, i.e.,
in case `x`

is an object of class `DiscreteDistribution`

or
`AbscontDistribution`

a list of maximal length maximally 3, respectively,
in case `x`

is an object of class `UnivarLebDecDistribution`

In these label arguments, the same pattern substitutions are made as
for titles. If no character substitutions and mathematical expressions
are needed, character vectors of respective length instead of lists are
also allowed for arguments `xlab`

, `ylab`

.

In addition, argument `…`

may contain arguments `panel.first`

,
`panel.last`

, i.e., hook expressions to be evaluated at the very beginning
and at the very end of each panel (within the then valid coordinates).
To be able to use these hooks for each panel individually, they may also be
lists of expressions (of the same length as the number of panels and
run through in the same order as the panels).

##### See Also

##### Examples

```
# NOT RUN {
plot(Binom(size = 4, prob = 0.3))
plot(Binom(size = 4, prob = 0.3), do.points = FALSE)
plot(Binom(size = 4, prob = 0.3), verticals = FALSE)
plot(Binom(size = 4, prob = 0.3), main = TRUE)
plot(Binom(size = 4, prob = 0.3), main = FALSE)
plot(Binom(size = 4, prob = 0.3), cex.points = 1.2, pch = 20)
plot(Binom(size = 4, prob = 0.3), xlab = list("a1","a2", "a3"),
ylab=list("p"="U","q"="V","d"="W"))
B <- Binom(size = 4, prob = 0.3)
plot(B, col = "red", col.points = "green", main = TRUE, col.main = "blue",
col.sub = "orange", sub = TRUE, cex.sub = 0.6, col.inner = "brown")
plot(Nbinom(size = 4,prob = 0.3), cex.points = 1.2, col = "red",
col.points = "green")
plot(Nbinom(size = 4,prob = 0.3), cex.points = 1.2, pch.u = 20, pch.a = 10)
plot(Norm(), main = TRUE, cex.main = 3, tmar = 6)
plot(Norm(), inner = FALSE, main = TRUE, cex.main = 3, tmar = 6)
plot(Norm(), lwd = 3, col = "red", ngrid = 200, lty = 3, las = 2)
plot(Norm(), main = "my Distribution: %A",
inner = list(expression(paste(lambda,"-density of %C(%P)")), "CDF",
"Pseudo-inverse with param's %N"),
sub = "this plot was correctly generated on %D",
cex.inner = 0.9, cex.sub = 0.8)
plot(Norm(),panel.first=grid(4,4))
## does not (yet) work as desired:
plot(Norm(),panel.first=list(grid(5,5),grid(3,3),grid(4,4)))
li <- list(substitute(grid(5,5)),substitute(grid(3,3)),substitute(grid(4,4)))
plot(Norm(),panel.first=li)
plot(Cauchy())
plot(Cauchy(), xlim = c(-4,4))
plot(Chisq())
### the next ylab argument is just for illustration purposes
plot(Chisq(),mfColRow = FALSE,to.draw.arg="d",
xlab="x",ylab=list(expression(paste(lambda,"-density of %C(%P)"))))
## substitution can be switched off
plot(Chisq(),mfColRow = FALSE,to.draw.arg="d",
xlab="x",ylab=list(expression(paste(lambda,"-density of %C(%P)"))), withSubst=FALSE)
plot(Chisq(), log = "xy", ngrid = 100)
Ch <- Chisq(); setgaps(Ch); plot(Ch, do.points = FALSE)
setgaps(Ch, exactq = 3); plot(Ch, verticals = FALSE)
plot(Ch, cex = 1.2, pch.u = 20, pch.a = 10, col.points = "green",
col.vert = "red")
## some distribution with gaps
wg <- flat.mix(UnivarMixingDistribution(Unif(0,1),Unif(4,5),
withSimplify=FALSE))
# some Lebesgue decomposed distribution
mymix <- UnivarLebDecDistribution(acPart = wg, discretePart = Binom(4,.4),
acWeight = 0.4)
plot(mymix)
#
## selection of subpanels for plotting
N <- Norm()
par(mfrow=c(1,2))
plot(N, mfColRow = FALSE, to.draw.arg=c("d","q"))
plot(N, mfColRow = FALSE, to.draw.arg=c(2,3))
par(mfrow=c(1,1))
wg <- flat.mix(UnivarMixingDistribution(Unif(0,1),Unif(4,5),
withSimplify=FALSE))
myLC <- UnivarLebDecDistribution(discretePart=Binom(3,.3), acPart = wg,
discreteWeight=.2)
layout(matrix(c(rep(1,6),2,2,3,3,4,4,5,5,5,6,6,6),
nrow=3, byrow=TRUE))
plot(myLC,mfColRow = FALSE,
to.draw.arg=c("p","d.c","p.c","q.c", "p.d","q.d"))
P <- Pois(2)
plot(as(P,"UnivarLebDecDistribution"),mfColRow = FALSE,to.draw.arg=c("d.d"))
### the next ylab argument is just for illustration purposes
plot(as(P,"UnivarLebDecDistribution"),mfColRow = FALSE,to.draw.arg=c("d.d"),
xlab="x",ylab=list(expression(paste(lambda,"-density of %C(%P)"))))
# }
```

*Documentation reproduced from package distr, version 2.7.0, License: LGPL-3*